Abdul Rauf Nayaz Ahamad

Detail-oriented and analytical recent graduate with a Bachelor's degree in Electronics and Telecommunication. Eager to contribute strong quantitative and problem-solving skills to a dynamic team in the role of a Data Analyst . Solid foundation in data analysis methodologies, statistical techniques, and business intelligence tools. Quick learner with a passion for leveraging data to drive informed decision-making.

• Data Science Using Python, Bangalore, Karnataka, 02/01/2022, 03/01/2022
• Embedded system developer, Bangalore, Karnataka, 02/01/2023, 03/01/2023

• English
• Hindi
• Kannada

1.Personal finance

Designed and developed a comprehensive Personal Finance Dashboard to empower individuals in managing and optimizing their financial activities. This dynamic web-based tool aggregates real-time data from various financial sources, including bank accounts, credit cards, investments, and loans. Key features include:

• Expense Tracking: Implemented a robust expense categorization system and visualization tools to offer users a clear understanding of spending patterns.
• Budget Management: Created a user-friendly budgeting module, allowing individuals to set, track, and receive notifications about personalized budget limits.
• Financial Goal Setting: Integrated tools for users to establish and monitor short-term and long-term financial goals, providing insights into progress and achievements.

2.Cardiac Arrythmia Detection

Led the development of an advanced Cardiac Arrhythmia Detection system leveraging machine learning and signal processing techniques. This project aimed to enhance early detection and classification of irregular heart rhythms for improved patient outcomes. Key accomplishments include:

• Data Preprocessing: Implemented robust data preprocessing techniques to clean and standardize electrocardiogram (ECG) data, ensuring accuracy in subsequent analysis.
• Feature Extraction: Applied signal processing algorithms to extract relevant features from ECG signals, enabling the system to capture distinctive patterns associated with various cardiac arrhythmias.

I consent to the processing of my personal data for the purpose of recruitment for the position to which I am applying